Ming Lin
Impact in
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- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Video Analysis and Summarization
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
Papers in
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- Video Analysis and Summarization 10
- Human Pose and Action Recognition 5
- Face and Expression Recognition 5
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- Domain Adaptation and Few-Shot Learning 7
- Machine Learning and Algorithms 5
- Co-authors
- Alexander G. Hauptmann (5 shared papers)Yi Yang (4 shared papers)Bhiksha Raj (2 shared papers)Zhenzhong Lan (3 shared papers)Xuanchong Li (2 shared papers)Jay F. Nunamaker (13 shared papers)Zhigang Ma (2 shared papers)Xiaojun Chang (2 shared papers)
- Journals
- Journal of the Association for Information Systems (5 papers)IEEE Transactions on Image Processing (2 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)Applied Physics Letters (1 paper)Applied Mathematics and Nonlinear Sciences (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Ming Lin
55 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 115
- Computer Vision and Pattern Recognition 689
- Artificial Intelligence 490
- Signal Processing 104
- Human-Computer Interaction 46
- Media Technology 60
Countries citing papers authored by Ming Lin
This map shows the geographic impact of Ming Lin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ming Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Lin more than expected).
Fields of papers citing papers by Ming Lin
This network shows the impact of papers produced by Ming Lin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ming Lin. The network helps show where Ming Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 200 | |
| 2 | 2017 | 165 | |
| 3 | 2021 | 92 | |
| 4 | 2015 | 75 | |
| 5 | 2022 | 73 | |
| 6 | 2016 | 61 | |
| 7 | 2004 | 38 | |
| 8 | 2006 | 38 | |
| 9 | 2006 | 30 | |
| 10 | 2020 | 29 | |
| 11 | 2005 | 27 | |
| 12 | 2008 | 21 | |
| 13 | 2015 | 19 | |
| 14 | Online Kernel Learning with a Near Optimal Sparsity Bound | 2013 | 17 |
| 15 | 2012 | 17 | |
| 16 | 2024 | 16 | |
| 17 | 2018 | 15 | |
| 18 | 2003 | 14 | |
| 19 | 2004 | 13 | |
| 20 | 2014 | 10 |
About Ming Lin
Ming Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Sociology and Political Science, Information Systems and Biomedical Engineering, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Video Analysis and Summarization (10 papers), Domain Adaptation and Few-Shot Learning (7 papers), Information and Cyber Security (7 papers), Human Pose and Action Recognition (5 papers), Face and Expression Recognition (5 papers), Sparse and Compressive Sensing Techniques (5 papers), Deception detection and forensic psychology (5 papers) and Machine Learning and Algorithms (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (689 citations), Artificial Intelligence (490 citations), Signal Processing (104 citations), Human-Computer Interaction (46 citations) and Media Technology (60 citations). Ming Lin has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Alexander G. Hauptmann, Yi Yang, Bhiksha Raj, Zhenzhong Lan, Xuanchong Li, Jay F. Nunamaker, Zhigang Ma, Xiaojun Chang, Alexander G. Hauptmann and Rong Jin. Their work appears in journals such as Journal of the Association for Information Systems, IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, Applied Physics Letters and Applied Mathematics and Nonlinear Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.